AI developer openings in United States: Python, LLM, GenAI, full stack, and apprenticeships.
77 listings available
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GenAI tooling for podcast creators — Boston tech hub.
Ship improvements to Transformers and inference APIs — NYC hub.
Kernel and inference optimizations for LLM serving — Austin AI research lab.
Real-time voice agents and telephony LLM integrations — Denver engineering office.
Second Glean hub role — retrieval quality and agent tools for enterprise search.
ML for scenario generation and closed-loop simulation — Phoenix ops hub.
3D perception and sensor fusion for autonomous vehicles — Mountain View HQ.
Bot detection and LLM abuse prevention at the edge — US remote.
Inference and fine-tuning on Cloudflare Workers AI — Austin engineering hub.
Content understanding and promo optimization models for global catalog.
Large-scale personalization and ranking for Netflix members — Los Angeles studio tech hub.
The AI developer market in United States (United States) stays competitive: LLM, RAG, agents, MLOps, and GenAI in product. Employers want Python, Java, or full-stack profiles who ship to production—not just prototypes.
On Ganloss, listings focus on the AI ecosystem: scale-ups, consultancies, finance, and enterprise transformation. Posted salary ranges help you compare before applying.
Common stack: Python, PyTorch or TensorFlow, LLM APIs (OpenAI, Anthropic), LangChain/LlamaIndex, Docker/Kubernetes, SQL, and cloud (AWS, GCP). Enterprise GenAI also hires full-stack Java/Angular profiles.
Recruiters value production skills (tests, observability, latency), product collaboration, and agile delivery. Apprenticeships and internships remain strong entry paths.
Create your Ganloss profile, turn on email alerts, and target posts with salary shown. Bring a portfolio (GitHub, RAG/agent projects) and tune your résumé for LLM, MLOps, Python, GenAI.